Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

Drag and Drop AI with API

Build visual AI workflows on a drag-and-drop canvas and trigger them programmatically through a REST API

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Drag and Drop AI with API

We spent 15+ hours benchmarking AI models for drag and drop with api while building Wireflow, documenting which settings and configurations produce the best outputs. The workflow below reflects what we learned.

Built on 300+ internal test generations during development
15+ AI models benchmarked for optimal output quality
50+ configurations tested to find the best defaults

Visual AI Design Meets Programmatic Control

Drag and drop AI with API bridges the gap between visual workflow design and production-grade automation. Instead of choosing between a no-code builder or raw API calls, you get both: a canvas where you connect AI model nodes visually, and REST endpoints that let any application execute those same workflows on demand. Design once on the canvas, deploy everywhere through the API.

Every workflow you build becomes an executable endpoint. Send a POST request with your inputs, poll for completion, and receive structured outputs. Rate limits, idempotency keys, and webhook triggers come built in so your integration stays reliable at scale.

Capabilities

🖱️

Canvas-Based Workflow Builder

Connect AI model nodes, inputs, and processors by dragging edges between them on an infinite canvas.

🔌

REST API Execution

Trigger any published workflow via POST request with Bearer token authentication and receive structured JSON results.

🔗

Webhook Triggers

Generate a webhook URL for any workflow so external services can start runs without needing an API key.

📊

Execution Polling and History

Poll running workflows for status, retrieve full execution details including timing, credits used, and per-node outputs.

🔒

Scoped API Keys

Generate keys with granular scopes like workflows:read, workflows:execute, and usage:read for least-privilege access.

⚡

Idempotent Requests

Send an Idempotency-Key header to prevent duplicate executions when retrying failed network requests.

More Than Just Drag and Drop AI with API

Full Canvas API Access

Every canvas workflow doubles as an API endpoint. The same AI canvas API that powers the visual editor is available for programmatic execution.

Full Canvas API Access

Build Workflows Visually, Run via Code

Non-technical team members design on the canvas while developers integrate workflows through the API for production systems.

Build Workflows Visually, Run via Code

Node-Based Architecture

Each step is a discrete node with typed inputs and outputs. The node-based AI platform supports 157+ node types across image, video, and text.

Node-Based Architecture

REST API with Canvas Design

Combine drag-and-drop simplicity with REST API canvas tools that give you full control over execution, polling, and webhook integration.

REST API with Canvas Design

Workflow API for Automation

Schedule runs, chain workflows, and build automated pipelines using the AI workflow API with idempotency and rate-limit headers built in.

Workflow API for Automation
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

Can I trigger drag and drop workflows via API?
Yes. Every workflow you build on the canvas becomes an executable API endpoint. Send a POST request with Bearer token authentication to start a run and poll for results.
What authentication does the API use?
Bearer token authentication with API keys generated from your dashboard. Keys begin with sk- and support granular scopes like workflows:execute and executions:read.
How do webhooks work with drag and drop workflows?
Each workflow can have a webhook URL that accepts POST requests without API keys. External services like Zapier or CI pipelines can trigger runs directly via this URL.
What are the API rate limits for workflow execution?
Rate limits depend on your plan: Free gets 10 requests per minute, Starter 20, Pro 60, and Enterprise 200. Execution concurrency is capped at 10 per minute across all plans.
Can I prevent duplicate workflow executions?
Yes. Include an Idempotency-Key header with your execute request. Identical keys within 24 hours replay the original response without running the workflow again.
How do I poll for workflow execution status?
After starting a run, poll GET /workflows/executions/{id}/poll with exponential backoff. The response returns RUNNING, COMPLETED with outputs, or FAILED with error details.
Do I need coding skills to use the drag and drop builder?
No. The canvas is fully visual with drag-and-drop node connections. The API layer is optional for developers who want programmatic control over the workflows others design.
What node types are available on the canvas?
Over 157 node types across categories including image generation, video generation, text processing, background removal, upscaling, and LLM text generation.

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Andrew Adams

Written by

Andrew Adams

Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Start Building Visual AI Workflows with API Access

Design multi-step AI pipelines on a drag-and-drop canvas, then execute them programmatically through REST endpoints. No infrastructure to manage, no GPU provisioning required.

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